[P] DeFFcode: A High-performance FFmpeg based Video-Decoder Python Library for fast and low-overhead decoding of a wide range of video streams into 3D NumPy frames.

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning

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  • decord

    An efficient video loader for deep learning with smart shuffling that's super easy to digest

  • There are a good amount of FFMPEG wrappers out there, decord, pyav, and MoviePy are probably the most popular. I'm sure all of these are fine, but they seem like they'd be best suited for something like a web backend for a startup that's getting off the ground or something else where latency isn't a huge issue.

  • PyAV

    Pythonic bindings for FFmpeg's libraries.

  • There are a good amount of FFMPEG wrappers out there, decord, pyav, and MoviePy are probably the most popular. I'm sure all of these are fine, but they seem like they'd be best suited for something like a web backend for a startup that's getting off the ground or something else where latency isn't a huge issue.

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  • moviepy

    Video editing with Python

  • There are a good amount of FFMPEG wrappers out there, decord, pyav, and MoviePy are probably the most popular. I'm sure all of these are fine, but they seem like they'd be best suited for something like a web backend for a startup that's getting off the ground or something else where latency isn't a huge issue.

  • deffcode

    A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python 🎞️⚡

  • Currently FFdecoder API's support for WriteGear API is still in beta and can cause very high CPU usage(even through the given example will work without any errors). Kindly use OpenCV's VideoWriter Class until this issue is resolved. However, this will change in upcoming commits as I'm already working on it. Kindly watch DeFFcode GitHub Repository to get updates instantly. Good luck!

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